Stemberger-Papić S, Stanković T, Vrdoljak-Mozetic D, Versa-Ostojić D, Krasević M, Stifter S, Audy-Jurković S
Department of Gynecological Cytology, University Department of Gynecology and Obstetrics, University Hospital Center Rijeka, Croatia.
Cytopathology. 2006 Dec;17(6):382-9. doi: 10.1111/j.1365-2303.2006.00330.x.
The aim of the study was to determine values of a quantitative morphometry analysis of nuclear characteristics and argyrophilic nucleolar organizer regions (AgNORs) in differential cytodiagnosis of benign, atypically proliferating (borderline) and malignant serous ovarian tumours.
Cytological imprints of benign (n = 20), borderline (n = 19) and malignant (n = 20) ovarian serous tumours were analysed. A computerized, digital analysis was used to determine morphometric nuclear features, the number and characteristics of single AgNORs, cluster AgNORs, total AgNOR and AgNOR area/nucleus (relative area) ratio. According to their size AgNORs were classified in three categories. A one-way variance analysis and post hoc test (Scheffé) were used for statistical analysis.
The morphometric nuclear analysis showed that benign, borderline and malignant serous ovarian tumours are statistically different (P < 0.001) according to the area and outline, the values being highest in malignant tumours and lowest in the borderline group. Digital analysis of AgNORs in benign, borderline and malignant groups showed that the total AgNOR number increases with progression of the lesion (meaning tumour malignancy) significantly (P < 0.001) between benign and malignant as well as between borderline and malignant serous ovarian tumours (P < 0.001). The progression of the lesion malignancy was accompanied by a significant (P < 0.001) progressive increase of the total and relative AgNOR area per nucleus. The AgNOR size increases from benign to malignant tumours and a statistically significant difference (P < 0.001) was observed in all three groups regarding small and large AgNORs.
Combining different markers of morphometric nuclear characteristics and AgNOR values could improve differential cytodiagnosis of benign, borderline and malignant serous ovarian tumours.
本研究旨在确定核特征和嗜银核仁组成区（AgNORs）定量形态学分析在良性、非典型增生（交界性）和恶性浆液性卵巢肿瘤鉴别细胞诊断中的价值。
分析了良性（n = 20）、交界性（n = 19）和恶性（n = 20）卵巢浆液性肿瘤的细胞学印片。采用计算机数字分析来确定形态学核特征、单个AgNORs的数量和特征、簇状AgNORs、总AgNOR以及AgNOR面积/细胞核（相对面积）比值。根据大小，AgNORs被分为三类。采用单因素方差分析和事后检验（Scheffé法）进行统计分析。
形态学核分析显示，根据面积和轮廓，良性、交界性和恶性浆液性卵巢肿瘤在统计学上存在差异（P < 0.001），恶性肿瘤的值最高，交界性组最低。对良性、交界性和恶性组AgNORs的数字分析表明，随着病变进展（即肿瘤恶性程度增加），总AgNOR数量显著增加（P < 0.001），在良性与恶性以及交界性与恶性浆液性卵巢肿瘤之间均如此（P < 0.001）。病变恶性程度的进展伴随着每个细胞核的总AgNOR面积和相对AgNOR面积的显著（P < 0.001）逐渐增加。AgNOR大小从良性肿瘤到恶性肿瘤逐渐增大，在所有三组中，小AgNORs和大AgNORs均观察到统计学上的显著差异（P < 0.001）。
结合形态学核特征和AgNOR值的不同标志物可改善良性、交界性和恶性浆液性卵巢肿瘤的鉴别细胞诊断。
